JPMorganChase tech stack
JPMorganChase builds mostly with Python, Java, SQL, JavaScript. Its stack also includes AWS, Kubernetes, Spring Boot, React.js. Python is named in 873 of the 1,816 job postings JPMorganChase published in the last 12 months (48%). Counted by Alion from the job postings of JPMorganChase, updated Sep 26, 2026.
What programming languages does JPMorganChase use?
Python is named in 48% of job postings at JPMorganChase, followed by Java (36%), SQL (24%), JavaScript (13%).
Python
873 48%
Java
654 36%
SQL
440 24%
JavaScript
243 13%
TypeScript
158 9%
C++
62 3%
C#
58 3%
Go
54 3%
Show all (33)
What frameworks and libraries does JPMorganChase use?
Spring Boot is named in 15% of job postings at JPMorganChase, followed by React.js (8%), PyTorch (4%), Angular (4%).
Spring Boot
266 15%
React.js
150 8%
PyTorch
76 4%
Angular
75 4%
TensorFlow
52 3%
LangChain
49 3%
Scikit-learn
42 2%
LangGraph
40 2%
Show all (126)
And 86 more, each named in fewer postings.
What databases does JPMorganChase use?
PostgreSQL is named in 7% of job postings at JPMorganChase, followed by Snowflake (6%), Oracle (4%), Cassandra (3%).
PostgreSQL
120 7%
Snowflake
113 6%
Oracle
80 4%
Cassandra
49 3%
DynamoDB
48 3%
Amazon Aurora
36 2%
Delta Lake
31 2%
Redis
29 2%
Show all (41)
And 1 more, each named in fewer postings.
What cloud and platforms does JPMorganChase use?
AWS is named in 41% of job postings at JPMorganChase, followed by Kubernetes (23%), Apache Kafka (14%), Databricks (12%).
AWS
739 41%
Kubernetes
413 23%
Apache Kafka
248 14%
Databricks
224 12%
Azure
186 10%
Spark
163 9%
GCP
150 8%
Amazon EKS
139 8%
Show all (106)
And 66 more, each named in fewer postings.
What developer tools does JPMorganChase use?
Terraform is named in 16% of job postings at JPMorganChase, followed by Docker (9%), Copilot (9%), Jenkins (8%).
Terraform
293 16%
Docker
172 9%
Copilot
156 9%
Jenkins
141 8%
Git
90 5%
Rest API
87 5%
Show all (108)
And 68 more, each named in fewer postings.
What AI and ML technologies does JPMorganChase use?
LLM is named in 13% of job postings at JPMorganChase, followed by Claude (3%), ChatGPT (1%), BERT (<1%).
Show all (11)
Which engineering practices does JPMorganChase ask for?
CI/CD is named in 47% of job postings at JPMorganChase, followed by Machine Learning (21%), AI Agents (19%), LLM Guardrails (8%).
CI/CD
857 47%
AI Agents
351 19%
RAG
128 7%
Prompt Engineering
96 5%
Show all (110)
And 70 more, each named in fewer postings.
What other technologies does JPMorganChase use?
Ethereum is named in <1% of job postings at JPMorganChase, followed by IPFS (<1%), Kotlin Coroutines (<1%), Corda (<1%).
Ethereum
8 <1%
IPFS
4 <1%
Kotlin Coroutines
3 <1%
Corda
2 <1%
Polygon
2 <1%
Solana
2 <1%
Bitcoin
1 <1%
Show all (9)
What does each JPMorganChase team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
648 postingsDevOps
148 postingsFinance
145 postingsData Science
138 postingsLeadership
126 postingsAI/ML
104 postingsHow does your stack fit JPMorganChase?
How is the JPMorganChase stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the JPMorganChase stack?
JPMorganChase scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 11; legacy ones: 1.
How common is the JPMorganChase stack in its industry?
Share of the 546 companies in the same industries, whose stack Alion knows, that use each technology.
What sets JPMorganChase apart
Companies with a stack like JPMorganChase
Questions about the JPMorganChase tech stack
What programming languages does JPMorganChase use?
The languages named in JPMorganChase job postings are Python (48%), Java (36%), SQL (24%), JavaScript (13%), TypeScript (9%), as a share of the 1,816 postings of the last 12 months.
Does JPMorganChase use Spring Boot?
Yes. Spring Boot is named in 266 of 1,816 job postings (15%) and required in 254 of them.
What cloud and platforms does JPMorganChase use?
The cloud and platforms named in JPMorganChase job postings are AWS (739), Kubernetes (413), Apache Kafka (248) (postings in brackets).
What skills do you need for a Backend job at JPMorganChase?
Backend postings at JPMorganChase most often require Java (394), AWS (303), Python (283), Spring Boot (208), out of 648 postings in the last 12 months.
Is the JPMorganChase tech stack changing?
Yes. Apache Ignite, Rest-Assured, Reranking, ABAP first appeared in JPMorganChase job postings in the last six months.
How modern is the JPMorganChase tech stack?
JPMorganChase scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 11; legacy ones: 1.
How does Alion know the JPMorganChase tech stack?
Alion reads every job posting JPMorganChase publishes and tags the technologies each one names. The figures on this page count the 1,816 postings of the last 12 months and were updated on Sep 26, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "JPMorganChase tech stack: 544 technologies from 1,816 job postings", as of Sep 26, 2026. https://alion.io/company/jpmorganchase/technologies